Inertial Vibration Control With Self-Identified Structural Dynamics
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Solution Overview
Problem
Existing systems for structural vibration control, particularly active systems, require complex dynamic models and skilled installation, leading to high costs and long realization times, and are not suitable for sudden changes in dynamic stress conditions like seismic events.
Innovation Solution
A system comprising an inertial device with a movable mass, movement sensors, and a processing device that identifies and controls vibrations by calculating a dynamic model through statistical evaluation of parameters, allowing for active control and structural health monitoring, and can be implemented by any user without complex programming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex dynamic models are used for active vibration control, then control precision is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The system performs self-identification of dynamic parameters by automatically detecting and analyzing vibration responses from sensors, eliminating the need for manual complex modeling. The processing device autonomously calculates mass, stiffness, and damping parameters from measured data, allowing the system to configure itself without requiring expert intervention or complex pre-programming.
Solution Approach 2:
The patent replaces complex mechanical modeling and manual system identification procedures with automated computational analysis. The processing device uses statistical evaluation and optimization algorithms to identify dynamic parameters directly from sensor measurements, substituting manual analytical methods with automated computational processes that simplify implementation.
2Reliability
If complex dynamic models and skilled installation are required, then control reliability is improved, but realization time and cost increase
Solution Approach 1:
The system automatically identifies its own dynamic characteristics through self-testing procedures, where the processing device analyzes vibration responses from sensors to determine mass, stiffness, and damping parameters. This self-configuration capability eliminates the need for skilled installers to perform time-consuming manual modeling and system identification, significantly reducing realization time while maintaining reliability.
Solution Approach 2:
The system performs preliminary identification of dynamic parameters during the installation phase through automated testing and data collection. By pre-determining the structural characteristics before full operational use, the system establishes accurate control parameters in advance, ensuring reliability from the start while minimizing on-site configuration time through automated procedures.
3Force
If traditional active control systems are used, then vibration control capability is improved, but adaptability to sudden changes in dynamic stress conditions deteriorates
Solution Approach 1:
The system continuously updates its dynamic model by repeatedly identifying mass, stiffness, and damping parameters from real-time sensor measurements. This dynamic re-identification allows the system to adapt to sudden changes in structural characteristics or stress conditions, maintaining optimal control performance even when the structure experiences unexpected modifications or environmental changes.
Solution Approach 2:
The system uses feedback from vibration sensors to continuously monitor structural response and update its dynamic parameters. By comparing measured vibrations with predicted responses, the processing device adjusts the identified parameters and recalculates control forces, enabling the system to adapt to sudden changes in dynamic stress conditions or structural behavior in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides a reliable and efficient method for vibration control with reduced uncertainty in model parameters, enabling precise control of vibrations and energy recovery, while being adaptable for various structures and environments, and facilitating predictive maintenance.
Implementation Method 1
at least one inertial device associable with the structure, said inertial device comprising at least one movable mass and being configured for a first controlled movement of the at least one movable mass, so as to excite the structure
Implementation Method 2
one or more movement sensors configured for detecting vibrations of the structure
Implementation Method 3
calculating a dynamic model, wherein the set of first parameters and the set of second parameters are made consistent taking in account the at least one movable mass
Implementation Method 4
performing the active control by a second controlled movement of the at least one movable mass, based on the dynamic model
Data Source
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AI summary
The present invention relates to a system for identification and active control of vibrations (101) in a structure (103), comprising at least one inertial device (102) associable with the structure (103), comprising at least one movable mass (104) and configured for a first controlled movement of the at least one movable mass (104) in order to excite the structure (103); one or more movement sensors (201) configured for detecting vibrations of the structure (103); at least one processing device (202, 302) operatively connected to the one or more movement sensors (201) and to the least one inertial device (102), the at least one processing device (202, 302) being configured for: identifying a set of first parameters determinable by the one or more movement sensors (201) in response to environment-induced vibrations of the structure (103); identifying a set of second parameters determinable by the one or more movement sensors (201) in response to the first controlled movement of the at last one movable mass (104); calculating a dynamic model, wherein the set of first and second parameters are made consistent taking into account the at least one movable mass (104); detecting threshold-exceeding vibrations of the structure (103) by the one or more movement sensors; controlling the at least one inertial device (102), wherein the at least one inertial device (102) is further configured for a second controlled movement of the at least one movable mass (104), based on the dynamic model. The present invention further relates to a respective method for identification and active control of vibrations in a structure.